2,500+ MCP servers ready to use
Vinkius

Ontraport MCP Server for LangChain 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Ontraport through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "ontraport": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Ontraport, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
Ontraport
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Ontraport MCP Server

Connect your Ontraport account to any AI agent and take full control of your business automation workflows through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with Ontraport through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

What you can do

  • Contact Management — List, retrieve, and create contacts to maintain your CRM data effortlessly.
  • Campaign & Sequence Tracking — List marketing campaigns and automation sequences to oversee your customer journeys.
  • Sales Monitoring — List transactions and track sales performance in real-time.
  • Content Oversight — List landing pages, forms, and messages to maintain a bird's-eye view of your marketing assets.
  • Task Management — List assigned tasks to stay on top of your team's operational needs.

The Ontraport MCP Server exposes 10 tools through the Vinkius. Connect it to LangChain in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Ontraport to LangChain via MCP

Follow these steps to integrate the Ontraport MCP Server with LangChain.

01

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save the code and run python agent.py

04

Explore tools

The agent discovers 10 tools from Ontraport via MCP

Why Use LangChain with the Ontraport MCP Server

LangChain provides unique advantages when paired with Ontraport through the Model Context Protocol.

01

The largest ecosystem of integrations, chains, and agents. combine Ontraport MCP tools with 500+ LangChain components

02

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

03

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

04

Memory and conversation persistence let agents maintain context across Ontraport queries for multi-turn workflows

Ontraport + LangChain Use Cases

Practical scenarios where LangChain combined with the Ontraport MCP Server delivers measurable value.

01

RAG with live data: combine Ontraport tool results with vector store retrievals for answers grounded in both real-time and historical data

02

Autonomous research agents: LangChain agents query Ontraport, synthesize findings, and generate comprehensive research reports

03

Multi-tool orchestration: chain Ontraport tools with web scrapers, databases, and calculators in a single agent run

04

Production monitoring: use LangSmith to trace every Ontraport tool call, measure latency, and optimize your agent's performance

Ontraport MCP Tools for LangChain (10)

These 10 tools become available when you connect Ontraport to LangChain via MCP:

01

create_contact

Create a new contact

02

get_contact

Get details for a specific contact

03

list_campaigns

List marketing campaigns

04

list_contacts

List Ontraport contacts

05

list_forms

List lead capture forms

06

list_landing_pages

List Ontraport landing pages

07

list_messages

List email/SMS messages

08

list_sequences

List automation sequences

09

list_tasks

List assigned tasks

10

list_transactions

List sales transactions

Example Prompts for Ontraport in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Ontraport immediately.

01

"List the last 5 contacts added to my Ontraport account."

02

"Check the status of my active marketing campaigns."

03

"List all sales transactions from today."

Troubleshooting Ontraport MCP Server with LangChain

Common issues when connecting Ontraport to LangChain through the Vinkius, and how to resolve them.

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Ontraport + LangChain FAQ

Common questions about integrating Ontraport MCP Server with LangChain.

01

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
02

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
03

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

Connect Ontraport to LangChain

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.